The CoughMonitor Suite is a comprehensive research tool for measuring cough as an endpoint in clinical trials. A slim, lightweight watch collects reliable, validated, continuous cough data while patients go about their normal daily lives.

Continuous Monitoring

Hyfe’s tools provide uninterrupted cough monitoring for weeks, months, or even years, unlike other technologies that are limited to 24-hour or overnight sessions.

Unobtrusive Form Factor

Hyfe’s watch is a familiar, convenient form factor appealing to users of all tech literacy levels and requiring no patient interaction. Its simplicity and ease of use ensures patient compliance and data collection success.

Privacy Preserving

Hyfe’s AI cough detection models run entirely on device, ensuring 100% privacy by analyzing only cough timestamps without recording any sounds.

Clinically Validated

Hyfe’s tools outperform alternatives with consistent, scientifically backed results and very low false positives, as demonstrated in clinical studies. Validation results - 90% sensitivity & 1 FP/ h

Backed by Experience

Hyfe’s processes and services have been honed through 46 global clinical trials, demonstrating reliable performance and precision in scalable cough detection across diverse field research settings.

Trusted By Coughers and Health Providers

Thousands of coughers and health providers worldwide rely on Hyfe’s AI cough detection models daily.

Hyfe, Inc. is the global leader in AI-powered cough-monitoring technology. The company’s patented machine-learning software enables passive, long-term monitoring of cough frequency, revealing novel health insights. Hyfe delivers cough-monitoring solutions that empower pharma and academic researchers to advance clinical trials, enable healthcare providers to optimize patient care, and power digital therapeutics to transform the management of respiratory illness, including chronic cough. Hyfe’s technology has been used in 50+ research studies, and its long-term partners include global pharma companies and leading academic institutions. More information is available at hyfe.com. 

Medical Informatics Corp.’s (MIC) mission is to deliver next-generation technologies to unify patient monitoring workflows for healthcare systems. MIC’s decade of innovation with its clinical platform, Sickbay, integrates over 30,000 vendor-neutral signals on two percent of hospital beds with over 10,000 clinical users in the United States. Most hospital systems lack native resolution data aggregated through a single source, instead deploying a multi-device strategy that silos data and data access time frames. The Sickbay Clinical Platform stands alone as the only FDA-cleared platform to aggregate time-series waveform data across disparate devices at native resolution. Current bedside devices delete data on average after 72 hours, while Sickbay saves the data indefinitely. Sickbay provides a portal through which care providers can review aggregated, time-synchronized data, annotate it, and collaborate to create algorithms (including ML & AI) and evaluate post-event care. Those algorithms and care models can then be reintroduced into the platform to advance care and innovation. Simply put, Sickbay provides the hospital teams their data from anywhere, anytime, to optimize workflows, analysis, and risk stratification across the patient care spectrum. The diverse team at MIC is fundamentally unlocking a blue ocean of new patient monitoring capabilities for ourselves, our partners, and our clients. MIC’s Sickbay saves lives, improves outcomes, streamlines strategy and technologies, and reduces the overall caring cost for hospital patients nationwide.

The AI detection models used by CoughTracker are trained on billions of real-world datapoints. They work on any device and protect privacy by only collecting half-second snippets for acoustic analysis.

The EHR is intended to be a point of care reference to support billing. Traditionally, only documenting discreet vitals from patient monitoring devices at single points.

Sickbay Clinical Platform:

• captures consolidated, persistent, time-series waveform data from networked and non-networked bedside devices at its native resolution
• re-displays near real-time, time aligned signals at an average latency of <25 mSec
• integration of risk scores and analytics

Sickbay is a single, interconnected platform that is designed to support dozens of use cases, therefore competition is dependent upon the use case. In addition to the data agggregation, consolidation, and visualilzation differences referenced under EHR functionality, key differentiators in patient monitoring & virtual care include: 

• vendor neutral device integration
• web-based to support monitoring on any PC, tablet, phone or embedded EHR workflow
• flexible, modular design to enable ability to monitor 50+ patients across units, facilities, and vendors
• unlimited retrospective data, from one second to one year+, to support building and sharing of trends, CDI documentation support, quality reporting
• integration, development and deployment of near real-time risk scores and analytics into established workflows
• automated documentation of vitals, ECG strips, and event trends into the EHR